Questions related to Statistical Software
I would like to use the Broad-Sense heritability equation (in the attached document) proposed by Cullis et al. (2006) for an unbalanced data. Is it possible to compute the vBLUP in Genstat beside R package? vBLUP in the equation is the mean variance of a difference of two BLUPs of genotypic effects/the average standard error of differences between BLUPs squared and σg2 is the genotypic variance.
Cullis, B., Smith, A., and Coombes, N. (2006). On the design of the early generation
variety trials with correlated data. J. Agric. Biol. Environ. Stat. 11, 381–393.
I am examining lifestyle change in migrant Nepalese and I am using, among other things, G-PAQ. WHO recommend using EpiInfo (from CDC) to analyse G-PAQ data, but their downloaded programs, which work through Microsoft Access, are not stand alone, and seem to need eSTEPS to work. However, the website for downloading eSTEPS is old (2007), and some are obsolete and cannot be downloaded as a result. Can anyone tell me how to get the program for anlysing the G-Paq data to work? Download order? Anything? I am becoming increasingly desperate...
More statistical software and packages existing nowadays, which one you thought will be much important from your view. And what about R? Do you recommend it?
Most of the statistical software provides weighted kappa for ordinal outcomes but only with two rater. For multi-rater the fleiss kappa is provided where we can not apply weighting due to ordinal outcome. My question is which statistical software should I use for weighted kappa for multi-rater ordinal outcome?
there are many statistics software that researchers usually use in their works. In your opinion, which one is better? which one do you offer to start?
Your opinions and experience can help others in particular younger researchers in selection.
My project is conducted as Augmented Design at filed. For doing ANOVA I am looking for SAS software code. I could not find a complete SAS code for ANOVA and means comparison. Can someone help me out?
Hallo, can you explain me how to calculate crude incidence rate of a recurrence per 100 py and 95%CI according to different time period? I use SPSS as a statistical software. I tried with life tables but not able to get the 95%CI. Can you give me a suggestion on this topic?
Hi everyone, I would like to run a Cox regression progressively including potential confounding factors in the models (Model 0: no confounding factors; Model 1: 1 confounding factor; Model 2: 2 confounding factors; ...)
Since I never did it on my own, I am wondering if you could suggest a practical statistics software for this purpose.
PS I usually use Stata or GraphPad Prism.
Thank you for your collaboration and time.
I have tried EVIEWS. But I came across of many Research Papers relevant to my Research who have used STATA. Many workshops to be held are asking for installed STATA Software. How can I get STATA?
Increasingly R is being used in statistical classes. What is the experience elsewhere? I have been a little disappointed with first year students' spreadsheet skills and even their interest in statistic and quantitative skills, despite it giving them an obvious advantage in their future career.
I have recently re-installed my window after severe damage to my files by ransomware. After re-installation, necessary software and drivers were also installed. But, my statistical software ADEL-R, META-R, GEA-R are not working well. They shut down automatically while performing the data analysis and reopen immediately. My analysis is interrupted. The system leaves a crash message in the location where software is installed (program/GEA-R in c drive). The message file is uploaded below.
If anyone of you happened to strike with this problem before, please suggest possible solutions. I have tried several ways but could not resolve my problem.
Thank you in advance.......
I am looking forward to test unit root for a panel data series. In this regard, I would want to use the Hadri and Rao (2008) test with structural break. Is there any way, I can perform the test in STATA or any other like statistical software.
For example, I want to get a bias-corrected confidence interval for a product of two coefficients from different regression equations:
The first： PM=a0+a1SL+a2SR
Then what is the bias-corrected confidence interval for a1*b5 using STATA?
As you know, for using nonlinear regressions in statistical software like SPSS or Minitab or codes, you need to determine a start point(start value or initial guess) for regression's parameters. Actually you need to choose an optimum start value for parameters to achieve the best nonlinear equation.
How can we determine the optimum start value?
Is there an other way (the other software) to use nonlinear regression regardless to parameter's start value?
I have a model proposed based on theories (see the figure attached). I am wondering if it is statistically possible to test the model? Specifically, is there any problem if my moderator is affected by the independent variable? If it is possible to test it, what statistics software should I use? Thanks for any suggestions.
I am currently working on a project that addresses educational communication and technology (ECT) barriers in online education and distance learning in the Philippines. However, according to my internet research, SPSS can only handle 1500 cases or respondents. My project requires over 3000 student respondents with more than 150 variables, which includes sub-variables. Is there any statistical software that can meet my requirements?
Prism is bit pricey, are there any affordable options but comparable in terms of graphic output, statistical calculation? Thanks.
It has been a time, I'm studying papers that used Interrupted Time Series (ITS) for their analysis, but unfortunately these papers did not mention which software they used! Even if they mentioned software like R, Python, Matlab, they did not mention for example which R package they used, what is the procedure. It is weird because on ML and Metaheuristic studies mostly we mention the whole algorithm and methodology we applied, so other researchers can replicate our work easily. However, about ITS is not like that and it is hard to enter the field!
Appreciate the help of ITS experts.
I am working on 10 days trial version as a student. I need to know if there is a correlation meta-analysis, in particular correlation meta analysis. Which method software is used for calculating Z value, and is this z value is different from fisher z value? Also, how to interpret funnel plot?
I have run an split-plot design experiment evaluating the efficacy of a treatment (with 3 whole plots and 4 sub-plots), and I am planning to analyse the collected data in Stata.
However, I do not find a pre-defined command to perform such analyses in Stata. I found that some statistical software such as GenStat Discovery have already pre-defined designs to analyse results of such experiment. Unfortunately, I do not have a licence for GenStat. I am planning to do my analyses with Stata.
Does anyone know how to analyse such data in Stata ?
We have collected drivers eye moment data (four groups: ‘<30’, 7drivers; ’30-40’, 14 drivers; ’40-50’, 10drivers; ‘>50’, 5 drivers) after 2, 3 and 4h continuous driving. I have attached a visual variable.
I want to know about the statistical software which is user friendly and widely use for cluster and path analysis of the data set.
I've been using SPSS for years. I couldn't complain less about it. Lately, I've started reading about R. Theoretically, I got impressed by some of its features. I wonder if anyone tried both of them in any social science discipline and found one of them outsmarts the other in terms of practicality.
Thanks for sharing insights!
I recently just found out about this statistical software and am interested to learn more about how this can be applied in marine fish ecology. Any leads on relevant literature would be most helpful.
The use of computer and research related softwares have made research analysis quite easy and saves time and efforts. I apply MS Excel, AMOS and SPSS. Not much familiar with EViews, ATLAS-ti. All of you may be using one or another statistical softwares. May I request you to share your practice.
What are the advantages and disadvantages regarding data analysis, resolution of figures and graphs from STATA and SPSS.
I mean, how do I put the dropped out participants' outcome (Missing value) in my analysis? Although I have already known what's ITTA meaning, I still don't know how to do it. Which methods should I use to fill missing values? Which statistical software I can use to perform ITTA & how etc.
If you can give me any explanations or advice, thanks a lot!
Hello, I'm struggling to find out which non-parametric test I need to use to compare the VO2 Max scores between physically active women and physically inactive men.
Aka, gender and physical activity are two independent(?) variables. I need a non-parametric test because I ran the data through normality tests and it says it's not normally distributed. I've looked at a Mann-Whitney U test but I don't think it's appropriate as it only lets me select one grouping variable?
Sorry I'm still really new at all this, any help would be appreciated.
There are many statistical software tools available in the market for quantitative and qualitative analysis. Some are very expensive while some provides student version freely. Which statistical software are you using to analyze and interpret the qualitative research?
I want to maximize the following function AND also want to find the optimal values from X1 to X6 such that Y is maximized. The function contains six linear terms and eleven interactions. It would be helpful for me if I get some idea about some algorithms using statistical software to achieve my goal.
Y = -083 - 0.12X1 - .37X3 + 5.3X2 + .0029log(X4)+1.85X5 + 6:2X6 + .186X1X2 + .22X1X4+ .035X1X5+.39X1X6 + .0073X2X3 + .023X3X4 + .006X3X5+.036X3X6 - .22X2X4 - .2X2X5 - .1X5X4 - .41X4X6.
Currently, I am conducting a meta-analysis on the association between BMI and prognosis. I discovered that the studies used various cut-offs. However, only two studies are eligible for dose-response meta-analysis (DRMA) as only these studies reported >1 cut-off values. Regarding this study:
1. Is it possible to perform a dose-response meta-analysis when only 2 studies are included?
2. Is there any statistical software that is able to perform dose-response meta-analysis other than STATA and R?
3. Regarding the preliminary analysis, we would like to perform a two-class analysis by comparing studies reporting 1 cut-off values (i.e. >=30 vs <30, >=25 vs <25). Can you pool all the cut-offs in the analysis? Or do you have to group the analyses based on the cut-offs?
Any help will be much appreciated. Thank you very much
I am having micro RNA data sets of control and patients now I am interested into analyzing micro RNA as a biomarker for a particular disease. I have already delta delta CT values for miRNA expression. In order to do so I want to develop ROC curve, if possible would you please explain step wise how to calculate ROC and AUC/ what statistical software you used for analysis?. This will be very helpful for me in my future research.
Thanking you in advance.
I am no statistics person.For one of my problems, I need to perform linear regression analysis. I am performing it in Minitab 17 statistical software. It gives R-square and optimised R-square. I know higher the value of R-square directly proportionate to good model and Adjusted R-square, model is better. However, adjusted-R-square is close to it. I read that this adjusted -R-square is a better parameter. But I can not understand why. Please help me to understand why this adjusted R square is better than R square?
I have been using Aabel (Gigawhiz) plotting and statistical software. However, it is Mac OS centric and cannot be installed on a PC. I like this software because it enables me to directly select a data point in a graph which then highlights the point in the linked spreadsheet. This is very useful when exploring data and anomalous values. However, it is only available for Mac and I am now mainly PC based. As such, can anyone recommend a PC plotting and statistical software package that provides similar functionality? Thanks in advance : -)
If you use different tools for different steps (sampling selection, weighting, estimation, etc.), please specify the breakdown.
I am running a regression in Stata.
As the dependent variable, I have the market share of smartphones (quarterly) for Apple and Samsung, and independent variables are Functional improvements and Design innovation (scored also quarterly).
My supervisor suggested that I have time fixed in order to account for the Christmas boost and I do not really understand how to do it.
And the second question is, am I capturing the interaction effect correctly?
So far I did...
xtset idcompany qdate
reg marketshare design function
and for interaction effect I did
reg marketshare design function designfunction
and I got really good P values and R^2, but my coefficient for design*function is ( -.09) I am very curious how should I interpret it.
Does this all make sense? I am really new to Stata. I would really appreciate any help.
Many of us are doing ongoing prospective research, yet COVID-19 has paused our work for a while or even months because of the city shut-down. There is an unexpected huge increase in lost to follow-up in our research clinics.
How should we deal with these cases, and the associated data?
The selection bias caused by the lost to follow-up cannot be adjusted by study design, as it is started already. What methods can we use to adjust instead?
Can anyone simply explain how inverse probability-of-censoring weighted estimation technique work on this issue?
How to run it practically, e.g. by SPSS software? Or other higher level of statistical software is needed?
How about stratification-based methods or weighted methods? How are they working actually?
Any practical guide available online?
Great thanks in advance with all your help!
Actually I am preparing a research article and need to prepare a Bray-Curtis Similarity Index (%) graph. I have been using PAST, portable statistical software for this but it didn't satisfy my need, So suggest me some good, open-source and handy software (if any).
I am writing a systematic review paper to demonstrate the global increase in drug-resistant E. coli over the past 20 years. I would like to show that in a line graph for the six WHO regions. I would like also to create a map to show the current prevalence worldwide. Which software is easy to use and good ? Thank you
This question was asked at me by one of my students. The question is regarding the selection of appropriate statistical packages for appropriate tests of data. How much MATLAB is superior to MSEXCEL in the accuracy of complex calculations? What are the other factors one should consider in selecting a software for data analysis?
I am looking for a software that can establish inflection points in a cumulative probability plot, where these inflection points can be used as class boundaries for geochemical anomalies.
İ am working on a binominal regression analysis for a retrospective study. Outcome has two option. Positive or negative. İn my Best regression model that i have found there are a continuous and an ordinal variable (1,2,3...10 ). And İ have used Jamovi and Spss for analysis and the model is fit. The problem is my spss subcription is almost out of date so a few weeks later jamovi Will be my only option for my research. İ Wonder is there any option or alternative test for hosmer le.. Test in jamovi, jasp, or another free statistical software?
We used SPSS to conduct a mixed model linear analysis of our data. How do we report our findings in APA format? If you can direct us to a source that explains how to format our results, we would greatly appreciate it. Thank you.
What are the various statistical software systems available which will allow you to enter regression weight, w, in weighted least squares (WLS) regression, in addition to SAS?
Thank you to Guillermo Enrique Ramos for confirming, in another thread/question, that SAS can be used for quadratic linear regression, in addition to straight line linear and multiple regression, to implement weighted least squares in the format y = y* + (e0)(w^(-0.5)), where w is the regression weight as shown in section 2 of "Estimating the Coefficient of Heteroscedasticity," https://www.researchgate.net/publication/333642828_Estimating_the_Coefficient_of_Heteroscedasticity. That is the format for which Ken Brewer made a convincing argument when describing the range of heteroscedasticity one should expect, as discussed in "Essential Heteroscedasticity," https://www.researchgate.net/publication/320853387_Essential_Heteroscedasticity. In section 3 of "Estimating the Coefficient of Heteroscedasticity," one can see that another way of handling heteroscedasticity is sometimes used, but it is not consistent with the Brewer explanation of the root cause of naturally occurring heteroscedasticity. Perhaps that alternative technique, or something related to it, might be used in some other software systems.
Here, the two attached images show the format for the regression I think best to use, and the regression weight, w, both presented in terms of the coefficient of heteroscedasticity, gamma. y* is the WLS prediction. In most applications, the best practical/obtainable function values for the size measure, z, are the OLS predicted y values. That is what is suggested for input to the spreadsheet in https://www.researchgate.net/publication/333659087_Tool_for_estimating_coefficient_of_heteroscedasticityxlsx.
(Note that the method here, using the attached images, is in completely closed form in the case where we have one regressor and a zero intercept, so z = bx, and x can be used for a (relative) size measure. Otherwise, we first obtain OLS predictions, and then pick a reasonable coefficient of heteroscedasticity, and go back to find the improved WLS predictions. I think that the other method appears to be more ad hoc.)
So what other software, in addition to SAS, will allow the input of w for weighted least squares regression? Is it for linear and multiple linear regression? Note that such software would then minimize the sum of weighted squared estimated residuals with respect to each regression coefficient, simultaneously, to obtain estimates of regression coefficients. What about polynomial linear regression? Multiple regression with interaction terms? Will it handle those too?
The other question I wrote regarding polynomial regression is still open, but here I'd like to know about other software for any regression fitting the format in the images attached here.
Please see https://www.researchgate.net/project/OLS-Regression-Should-Not-Be-a-Default-for-WLS-Regression.
The question then is What other software, besides SAS, will accept regression weight input, w, for WLS regression?
Please, could anyone give me an alternative to analyse data generated from an augmented Block design layout?
The Following known softwares are not working! Could anyone know the reasons? I urgently need your help!
Here are the softwares/links
Indian Agricultural Research Institute, New Delhi
•Statistical Package for Augmented Designs (SPAD)
•SAS macro called augment.sas
CIMMYT – SAS macro called UNREPLICATE
•Developed in 2000 – uses some older SAS syntax
Thanks in advance for your help
Which statistical software will allow entry of a regression weight in polynomial regression?
If we factor heteroscedastic estimated residuals into random and nonrandom factors, we can use a nonrandom factor that is the predicted y, say y*, raised to gamma, the coefficient of heteroscedasticity. This gives us a regression weight of the predicted y raised to twice the negative of gamma. These two expressions are attached.
The following provides information on estimating gamma, the coefficient of heteroscedasticity:
See Brewer, K.R.W.(2002), Combined survey sampling inference: Weighing Basu's elephants, Arnold: London and Oxford University Press, especially pages 111, and 87, 130, 137, 142, and 203.
Here is a spreadsheet to use in selecting a coefficient of heteroscedasticity:
This is found under the following project:
So, for example, if the coefficient of heteroscedasticity is 0.5, then using a preliminary estimate of y*, say y_hat, the two choices of G.S. Maddala, then the estimated regression weight is 1/y_hat.
SAS PROC REG allows the regression weight here to be entered as "w" (no quotes) for most linear regressions, but I think you might have to go to SAS PROC GLM for quadratic regression.
I do not know which software, and better to know, but I don't, which programs within them, will perform polynomial regression, and will they handle entry of regression weight w.
I would appreciate hearing what you know about which statistical software include weighted least squares polynomial regression. I would like to be able to tell people where they can find it and use the above.
i'm looking for a book with a combination of easy to understand theory and some examples with statistical softwares about bayesian structural equation modeling.
I'm aware of a package in R called 'productivity' that does malmquist however, I'm looking to conduct Luenberger productivity and Luenberger-Hicks-Moorsten productivity, which this package does not have.
Thanks in advance!
I am analyzing data related to a project entitled "Assessment of stigma, fear and discrimination among healthcare workers towards PLWHIV". We are planning to associate socio-demographic characteristics to develop stigma, fear and discrimination.
Now outcome variable is dichotomous in nature like presence/absence.Where as if we want to measure the odds in professional category by keeping doctors as reference. How i can do this in the Epi- Info 7.
Kindly give your suggestions to handle this problem.
Kindly suggest a good statistical software to analyse data collected from an augmented field designed experiment ?
I am looking to explore my alignments and tree data more carefully and I was wondering if there was any genomic statistical packages that may give me more inside into the data I generated in the alignments. I'm not sure if this I need the additional analysis, but I am interested in learning new ways in how to analyze my data. I have heard that there is a JMP Genomics add-on but I am not failure with it. Does any one have any advice or experience with JMP Genomics or any other software that might be able to help me understand what all I could do?
I am running a Geographically Weighted Regression and calibrating the bandwidth of my models using GW.model R functions. After some tests and playing around with the data, I encountered the following curiosity:
Often, when the number of regressors is higher than the number of observations, we say that there is no unique solution to the system. In fact, any statistical software would throw you an error.
However, I do not know how this occurs in GWR. My bandwidth selection, k-nearest, is lower than the number of regressors, meaning that each local regression has more regressors than observations (i.e., k-nearest neighbors < p regressors). I am able to estimate a solution of which I am very skeptical of because of this issue. But I am able to estimate a solution, which my institution says I should not.
Could somebody clarify what is going on here? Should I be concerned?
Does anyone know how can I estimate the NHPP reliability function through Non-parametric method?!
I know the Kernel density estimation is widely used in this area, but seems it has very complicated theory.
I was wondering if you could suggest an example or statistical software directly.
Also, I am just attaching the needed formulas of Kernel model.
Thanks for your attention.
I want to know whether what is the best software that can be used for statistical analysis, time series analysis and drawing surface plots in chemical, biological and environmental engineering and science research projects.
Hi, everyone. i am calculating NRI and IDI using STATA. I want to compare the discrimination ability of two seperate models (Model A and Model B). I think the nri program of stata seems only to calculate NRI that reflects the discrimination between a base model and the model in which a new marker is added to the base model. Now, how should i calculate a NRI that reflects the discrimination of two models which includes different variates.
Thanks in advance!
Is there any tool other than QMOOD++ to measure the metrics stated by BANSIYA(QMOOD metrics) for class diagram?
There are different software to carry out confirmatory analyzes, such as SPSS AMOS, which sometimes are insufficient for the publication requirements of some journals. What would be the most recommended software today?