Is your response binary (for example, employed or unemployed), ordinal (education level), count (number of children), or censored (ticket sales in an existing venue)? Stata has maximum likelihood estimators—logistic, probit, ordered probit, multinomial logit, Poisson, tobit, and many others—th...
prognostic factor effectssample sizeCollecting data for an individual participant data meta-analysis (IPDMA) project can be time consuming and resource intensive and could still have insufficient power to answer the question of interest. Therefore, researchers should consider the power of their planned...
All analyses were performed using Stata SE statistical software version 16.1 (StataCorp). Results Sample Characteristics This cross-sectional study includes a sample of 797 trans Washington adults. A comprehensive overview of demographic, social marginalization, and health care variables is...
McArdle JJ: Structural factor analysis experiments with incomplete data. Multivariate Behavioral Research. 1994, 29: 409-454. 10.1207/s15327906mbr2904_5. Article CAS PubMed Google Scholar Little RJA, Rubin DB: Statistical Analysis with missing data. 2002, New York: John Wiley, Second Google Sch...
Analyses and summaries were generated in Stata/IC version 15. Results Figure1shows the number of articles obtained from the literature search, articles excluded and why, and articles included in the study. Two hundred articles, covering a wide range of disease areas and journals, were included in...
xtcloglog — Random-effects and population-averaged cloglog models 7 Example 1 Suppose that we are studying unionization of women in the United States and are using the union dataset; see [XT] xt. We wish to fit a random-effects model of union membership: . use https://www.stata-press...
Survey statistics in Stata 15 (Stata Corporation) were utilized to account for the complex sampling design and weights. A weighted analysis was performed to determine the frequencies and percentages of MI among participants and their independent variables. Binary logistic regression and CHAID analysis we...
It seems wise not to downplay the importance of LSD use as a risk factor when interpreting the results of this study. Conclusion Repeated measures designs play an important role in psychological research. Psychologists are familiar with analysis of variance, both univariate and multivariate, for ...
in the model (Tibshirani,1996). Given our modest sample size, we used nonparametric bootstrapping with 1000 iterations to estimate confidence intervals and reduce Type 1 error per model (Parra‐Frutos,2014). The significance level was set top < 0.05 a priori. We used Stata-MP version ...
Descriptive and multivariable analyses were conducted in STATA 17.1 (StataCorp, College Station, Texas). Descriptive analyses were conducted for demographics, mental health symptoms, and gender affirmation measures. Medians and interquartile ranges were used for continuous variables; frequencies and percenta...