postestimation command nlcom (STATA Corporation)
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postestimation command nlcom
Postestimation Command Nlcom, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/postestimation+command+nlcom/nlcom+post+estimation+command/pmc10084173__EVJ___55___194___s007-2-362-362
Average 90 stars, based on 1 article reviews
Postestimation Command Nlcom, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/postestimation+command+nlcom/nlcom+post+estimation+command/pmc10084173__EVJ___55___194___s007-2-362-362
Average 90 stars, based on 1 article reviews
postestimation command nlcom - by Bioz Stars,
2026-10
90/100 stars
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other:Article Title: Disputes of Self-reported Chronic Disease Over Time Article Snippet: Delta-method SEs and 95% Article Title: Article Snippet: Speed (m/s) Stride length (m) Covariate Coefficient (95% CI)† p-value Coefficient (95% CI)† p-value Race-level variables Race distance (km) 0.436 (-4.052, 4.924) 0.849 0.396 (-0.235, 1.026) 0.219 Race distance2 0.044 (-1.325, 1.413) 0.949 - - Surface type Synthetic Ref Ref Turf 0.231 (-0.296, 0.759) 0.390 0.240 (-0.283, 0.763) 0.368 Track condition‡ -0.257 (-0.449, -0.066) 0.008 -0.261 (-0.448, -0.074) 0.006 Number of starters (field size) 0.042 (-0.035, 0.119) 0.281 - - Race class Listed, Group Ref Ref Open -0.496 (-1.512, 0.519) 0.338 -0.447 (-1.454, 0.560) 0.384 Restricted – Benchmark, Handicap -0.322 (-1.224, 0.581) 0.485 -0.250 (-1.158, 0.658) 0.590 Class 2-6 -0.344 (-1.220, 0.533) 0.442 -0.313 (-1.194, 0.569) 0.487 Maiden, Class 1 -0.338 (-1.291, 0.616) 0.487 -0.258 (-1.211, 0.696) 0.596 Season Spring Ref Ref Summer 0.880 (0.356, 1.403) 0.001 0.893 (0.375, 1.410) 0.001 Autumn 0.937 (0.364, 1.510) 0.001 0.941 (0.386, 1.496) 0.001 Winter 0.664 (-0.004, 1.332) 0.051 0.729 (0.069, 1.389) 0.030 Day or night meeting Day Ref Ref Night 0.141 (-0.288, 0.571) 0.519 0.153 (-0.268, 0.574) 0.476 Calendar year of race‡ 0.018 (-0.097, 0.134) 0.754 - - Horse-level variables Starting price (AUD) § -0.264 (-0.473, -0.055) 0.013 -0.150 (-0.345, 0.044) 0.130 Percentage of career spent in rest (>60 days) -0.011 (-0.017, -0.004) 0.001 -0.010 (-0.016, -0.003) 0.004 Percentage places at current race -0.013 (-0.024, -0.002) 0.017 -0.012 (-0.022, -0.002) 0.015 Cumulative Australian career winnings 2008- current (AUD) - - Zero Ref - - More than zero -0.503 (-1.170, 0.165) 0.140 - - Speed (m/s) Stride length (m) Covariate Coefficient (95% CI)† p-value Coefficient (95% CI)† p-value Sex - - Female - - Ref Gelding - - -0.023 (-0.380, 0.333) 0.898 Intact Male - - 0.555 (-0.175, 1.285) 0.136 Age at first race (years) - - 0.086 (-0.155, 0.328) 0.485 Horse country of origin Australia - - Ref International - - 0.464 (-0.490, 1.418) 0.340 †The coefficient for the effect of each covariate on survival (overall log hazard-ratio) is a*d[x]+f[x], where a is the coefficient of the association value, d is the coefficient of the specified covariate [x] in the longitudinal submodel, and f is the coefficient of the specified covariate [x] in the survival submodel of the joint model and was calculated using the Article Title: Changes in Thoroughbred speed and stride characteristics over successive race starts and their association with musculoskeletal injury Article Snippet: The overall log hazard ratio for the effect of each covariate [ x ] is α*δ [ x ] + φ[ x ], where α is the coefficient of the association value, δ is the coefficient of the specified covariate [ x ] in the longitudinal submodel, and φ is the coefficient of the specified covariate [ x ] in the survival submodel of the joint model and was calculated using the Generated:Article Title: Changes in Thoroughbred speed and stride characteristics over successive race starts and their association with musculoskeletal injury. Article Snippet: .. The overall log hazard ratio for the effect of each covariate [x] is α*δ [x] + φ[x], where α is the coefficient of the association value, δ is the coefficient of the specified covariate [x] in the longitudinal submodel, and φ is the coefficient of the specified covariate [x] in the survival submodel of the joint model and was calculated using the |