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Screening for the Presence of a Disease by Pooling Sera Samples

Litvak, Eugene; Tu, Xin M.; Pagano, Marcello - In: Journal of the American Statistical Association : JASA 89 (1994) 426, pp. 424-434

Persistent link: https://www.econbiz.de/10006636613

The AIDS Epidemic: Estimating Survival After AIDS Diagnosis Erom Surveillance Data

Tu, Xin Ming; Meng, XiAO-Li; Pagano, Marcello - In: Journal of the American Statistical Association : JASA 88 (1993) 421, pp. 26-36

Persistent link: https://www.econbiz.de/10006638928

On fitting distributed lag models subject to polynomial restrictions

Pagano, Marcello; Hartley, Michael J. - In: Journal of Econometrics 16 (1981) 2, pp. 171-198

Persistent link: https://www.econbiz.de/10005285414

The choice of the number of bins for the M statistic

White, Laura Forsberg; Bonetti, Marco; Pagano, Marcello - In: Computational Statistics & Data Analysis 53 (2009) 10, pp. 3640-3649

Methods to monitor spatial patterns of disease in populations are of interest in public health practice. The M statistic uses interpoint distances between cases to detect abnormalities in the spatial patterns of diseases. This statistic compares the observed distribution of interpoint distances...

Persistent link: https://www.econbiz.de/10005006049

Efficient calculation of the permutation distribution of robust two-sample statistics

Spino, Cathie; Pagano, Marcello - In: Computational Statistics & Data Analysis 12 (1991) 3, pp. 349-365

Persistent link: https://www.econbiz.de/10005165746

Analysis of discrete data: Rerandomization methods and complexity

Baglivo, Jenny; Olivier, Donald; Pagano, Marcello - In: Computational Statistics & Data Analysis 16 (1993) 2, pp. 175-184

Persistent link: https://www.econbiz.de/10005172815

Cluster designs to assess the prevalence of acute malnutrition by lot quality assurance sampling: a validation study by computer simulation

Olives, Casey; Pagano, Marcello; Deitchler, Megan; … - In: Journal of the Royal Statistical Society Series A 172 (2009) 2, pp. 495-510

Traditional lot quality assurance sampling (LQAS) methods require simple random sampling to guarantee valid results. However, cluster sampling has been proposed to reduce the number of random starting points. This study uses simulations to examine the classification error of two such designs, a...

Persistent link: https://www.econbiz.de/10005276895

Power comparisons for an improved disease clustering test

Ozonoff, Al; Bonetti, Marco; Forsberg, Laura; Pagano, … - In: Computational Statistics & Data Analysis 48 (2005) 4, pp. 679-684

Persistent link: https://www.econbiz.de/10005118178

An approach to modeling seasonally stationary time series

Parzen, Emanuel; Pagano, Marcello - In: Journal of Econometrics 9 (1979) 1-2, pp. 137-153

Persistent link: https://www.econbiz.de/10005122849

Binned Scatterplots: introducing -binscatter- and exploring its applications

Stepner, Michael - Stata User Group - 2014

binscatter is a newly released program that produces binned scatterplots, which provide a non-parametric estimate of a conditional expectation function. This presentation will describe the features of binscatter, and explore its versatile applications. Those applications include: observing the...

Persistent link: https://www.econbiz.de/10010888634