Summary - People.stat.sfu.ca - Simon Fraser University

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Figure 1b. The Probit, Separate, CNR, RE model as fit to the EC-RT mortality data.
Figure 1c. The Probit, SeparateMono, CNR, RE model as fit to the EC-RT mortality data.
Page 1 and 2: An assessment of the effect of hard
Page 3 and 4: 2. Studies used. There are two gr
Page 5 and 6: number of free parameters in the mo
Page 7 and 8: isotonicity constraint can be appli
Page 9 and 10: fewer mortalities occurred at highe
Page 11 and 12: Survival10.90.80.70.60.50.40.30.20.
Page 13 and 14: is inconsequential relative to the
Page 18 and 19: The function fit isA(1+ E • X)Y =
Page 20 and 21: In some cases, model averaged estim
Page 22 and 23: experimental studies of quantal res
Page 26: Figure 1d. The Probit, Common LC50,
Page 29 and 30: Figure 1g. The Probit, Common, CNR,
Page 31 and 32: Figure 2b. The Probit, SeparateMono
Page 33 and 34: Table 1. Summary of sampling protoc
Page 35 and 36: Table 2-EC-CH-mortality. Summary of
Page 37 and 38: Table 2-EC-FH-weight. Summary of AI
Page 39 and 40: Table 2-EC-HY-weight. Summary of AI
Page 42 and 43: Table EC-MY-mortality. Summary of A
Page 44 and 45: Table 2-NA-AL-cell. Summary of AIC
Page 46 and 47: Table 2-NA-DA-repro. Summary of mod
Page 48 and 49: Table 2-NA-FH-weight. Summary of AI
Page 51: Table 2-NA-TA-weight. Summary of mo
Page 54 and 55: Table 3. Summary of model averaged
Page 56 and 57: Table 3. Summary of model averaged

Summary - People.stat.sfu.ca - Simon Fraser University

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