A pairwise pseudo-likelihood approach for regression analysis of left-truncated failure time data with various types of censoring

Table 4 Analysis results of the MHCPS data, including the estimated covariate effect (Est), the standard error estimate (Std) and the p-value

Method	Est	Std	p-value
Proposed method	0.122	0.060	0.041
CL method	0.133	0.082	0.103
Ignoring truncation	0.156	0.095	0.100

Note: “Proposed method” denotes the proposed pairwise pseudo-likelihood method, “CL method” denotes the conditional likelihood method, and “Ignoring truncation” denotes the NPMLE approach that ignores the existence of left truncation

ISSN: 1471-2288