PS
PS: Power and Sample Size Calculation. PS is an interactive program for performing power and sample size calculations that may be downloaded for free. It can be used for studies with dichotomous, continuous, or survival response measures. The alternative hypothesis of interest may be specified either in terms of differing response rates, means, or survival times, or in terms of relative risks or odds ratios. Studies with dichotomous or continuous outcomes may involve either a matched or independent study design. The program can determine the sample size needed to detect a specified alternative hypothesis with the required power, the power with which a specific alternative hypothesis can be detected with a given sample size, or the specific alternative hypotheses that can be detected with a given power and sample size. The PS program can produce graphs to explore the relationships between power, sample size and detectable alternative hypotheses. It is often helpful to hold one of these variables constant and plot the other two against each other. The program can generate graphs of sample size versus power for a specific alternative hypothesis, sample size versus detectable alternative hypotheses for a specified power, or power versus detectable alternative hypotheses for a specified sample size. Linear or logarithmic axes may be used for either axes. Multiple curves can be plotted on a single graphic.
Keywords for this software
References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
Sorted by year (- Wu, Xinqi; Zhang, Qingzhao; Zhang, Sanguo: Detecting difference between coefficients in linear model using jackknife empirical likelihood (2016)
- Yu, Wei; Niu, Cuizhen; Xu, Wangli: An empirical likelihood inference for the coefficient difference of a two-sample linear model with missing response data (2014)
- Bojić, Tijana; Vuckovic, Aleksandra; Kalauzi, Aleksandar: Modeling EEG fractal dimension changes in wake and drowsy states in humans -- a preliminary study (2010)
- Su, Haiyan; Liang, Hua: An empirical likelihood-based method for comparison of treatment effects-test of equality of coefficients in linear models (2010)
- John Kairalla; Christopher Coffey; Keith Muller: GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots (2008) not zbMATH
- Hoover, Donald R.: Extending power and sample size approaches developed for McNemar’s procedure to general sign tests (2005)