Zeige Ergebnisse 191 - 200 von 222
2003
Hothorn LA. Statistics of interlaboratory in vitro toxicological studies. Alternatives to laboratory animals. 2003 Nov;31(SUPPL. 1):43-63. doi: 10.1177/026119290303101s03
Neuhäuser M, Leisler B, Hothorn LA. A trend test for the analysis of multiple paternity. Journal of Agricultural, Biological, and Environmental Statistics. 2003 Mär;8(1):29-35. doi: 10.1198/1085711031184
2002
Biesheuvel E, Hothorn LA. Many-to-one comparisons in stratified designs. Biometrical journal. 2002 Jan 23;44(1):101-116. doi: 10.1002/1521-4036(200201)44:1<101::AID-BIMJ101>3.0.CO;2-H, 10.15488/5961
Bretz F, Hothorn LA. Detecting dose-response using contrasts: Asymptotic power and sample size determination for binomial data. Statistics in medicine. 2002 Okt 24;21(22):3325-3335. doi: 10.1002/sim.1324
Hothorn LA. Selected biostatistical aspects of the validation of in vitro toxicological assays. Alternatives to laboratory animals. 2002 Dez;30(SUPPL. 2):93-98. doi: 10.1177/026119290203002s14
2001
Bretz F, Genz A, Hothorn LA. On the numerical availability of multiple comparison procedures. Biometrical journal. 2001 Aug 28;43(5):645-656. doi: 10.1002/1521-4036(200109)43:5<645::AID-BIMJ645>3.0.CO;2-F
Bretz F, Hothorn LA. Testing dose-response relationships with a priori unknown, possibly nonmonotone shapes. Journal of Biopharmaceutical Statistics. 2001 Jan 1;11(3):193-207. doi: 10.1081/BIP-100107657
Munzel U, Hothorn LA. A unified approach to simultaneous rank test procedures in the unbalanced one-way layout. Biometrical journal. 2001 Aug 28;43(5):553-569. doi: 10.1002/1521-4036(200109)43:5<553::AID-BIMJ553>3.0.CO;2-N
Tamhane AC, Hothorn LA. A multiple comparison procedure for three- and four-armed controlled clinical trials (multiple letters). Statistics in medicine. 2001 Jan 9;20(2):317-318. doi: 10.1002/1097-0258(20010130)20:2<317::AID-SIM661>3.0.CO;2-P
2000
Hothorn LA, Hayashi M, Seidel D. Dose-response relationships in mutagenicity assays including an appropriate positive control group: A multiple testing approach. Environmental and Ecological Statistics. 2000 Mär;7(1):27-42. doi: 10.1023/A:1009654728475
