41 to 46 of 46 Results
Nov 27, 2007
Clifford Spiegelman; William A. Tobin; William D. James; Simon J. Sheather; Stuart Wexler; and D. Max Roundhill, 2007, "Replication data for: Chemical and forensic analysis of JFK assassination bullet lots: Is a second shooter possible?", https://doi.org/10.7910/DVN/6B4CXH, Harvard Dataverse, V1
The assassination of President John Fitzgerald Kennedy (JFK) traumatized the nation. In this paper we show that evidence used to rule out a second assassin is fundamentally flawed. This paper discusses new compositional analyses of bullets reportedly to have been derived from the same batch as those used in the assassination. The new analyses show... |
Nov 27, 2007 -
Replication data for: Chemical and forensic analysis of JFK assassination bullet lots: Is a second shooter possible?
Adobe PDF - 136.9 KB -
MD5: 7aac78193d248ae14c3945dcb2c63e42
Original article for this study |
Nov 27, 2007 -
Replication data for: Chemical and forensic analysis of JFK assassination bullet lots: Is a second shooter possible?
Adobe PDF - 56.6 KB -
MD5: 1e655431b1b4dee51e9ac0dba09406ba
Text Control Material Analyses for this study |
Nov 27, 2007
Alexander Gordon; Galina Glazko; Xing Qiu; and Andrei Yakovlev, 2007, "Replication data for: Control of the Mean Number of False Discoveries, Bonferroni, and Stability of Multiple Testing", https://doi.org/10.7910/DVN/PFKQFJ, Harvard Dataverse, V1
The Bonferroni multiple testing procedure is commonly perceived as being overly conservative in large-scale simultaneous testing situations such as those that arise in microarray data analysis. The objective of the present study is to show that this popular belief is due to overly stringent requirements that are typically imposed on the procedure r... |
Nov 27, 2007 -
Replication data for: Control of the Mean Number of False Discoveries, Bonferroni, and Stability of Multiple Testing
Adobe PDF - 46.9 KB -
MD5: f1205805b531c959042509be54972e29
Analysis of an Artificial
Spike-in Data Set |
Nov 27, 2007 -
Replication data for: Control of the Mean Number of False Discoveries, Bonferroni, and Stability of Multiple Testing
Adobe PDF - 76.3 KB -
MD5: ffc4424ec351e604cfa0f05e327f2566
Analysis of Simulated Data
Using \PFER as the Equalizer |