Table 5:

Result of the combined analysis of two case-control studies nested in the PLCO cohort.

Endpoint (a)
 L˜1(β) L˜FU,IC(β)
ParameteraEstimateSE95% CIEstimateSE95% CI REc
ColorectalVitamin D quintile
20.1530.211(–0.262, 0.567)0.2970.192(–0.079, 0.672)1.22
3–0.0850.217(–0.510, 0.341)0.1500.196(–0.234, 0.534)1.23
4–0.2230.225(–0.663, 0.217)0.1240.205(–0.278, 0.526)1.20
5–0.3940.241(–0.868, 0.079)–0.0950.218(–0.523, 0.333)1.22
BMI > 250.0070.161(–0.308, 0.321)0.0850.150(–0.210, 0.380)1.14
Diabetes0.4700.260(–0.039, 0.979)0.6020.237(0.137, 1.067)1.20
ProstateVitamin D quintile
2–0.0060.188(–0.373, 0.362)–0.0910.181(–0.446, 0.264)1.07
30.5210.173(0.182, 0.859)0.3850.166(0.060, 0.710)1.08
40.5710.188(0.203, 0.939)0.3470.177(–0.001, 0.693)1.13
50.2620.180(–0.091, 0.615)0.0960.173(–0.244, 0.435)1.08
BMI > 25–0.0500.126(–0.297, 0.196)–0.0940.120(–0.328, 0.141)1.10
Diabetes–0.0660.231(–0.519, 0.387)–0.1620.216(–0.584, 0.261)1.15
ProportionalitybIntercept3.4380.551(2.357, 4.518)
 t–0.5190.588(–1.672, –0.634)
 t2–0.3070.157(–0.616, 0.001)
Endpoint (a)
 L˜1(β) L˜FU,IC(β)
ParameteraEstimateSE95% CIEstimateSE95% CI REc
ColorectalVitamin D quintile
20.1530.211(–0.262, 0.567)0.2970.192(–0.079, 0.672)1.22
3–0.0850.217(–0.510, 0.341)0.1500.196(–0.234, 0.534)1.23
4–0.2230.225(–0.663, 0.217)0.1240.205(–0.278, 0.526)1.20
5–0.3940.241(–0.868, 0.079)–0.0950.218(–0.523, 0.333)1.22
BMI > 250.0070.161(–0.308, 0.321)0.0850.150(–0.210, 0.380)1.14
Diabetes0.4700.260(–0.039, 0.979)0.6020.237(0.137, 1.067)1.20
ProstateVitamin D quintile
2–0.0060.188(–0.373, 0.362)–0.0910.181(–0.446, 0.264)1.07
30.5210.173(0.182, 0.859)0.3850.166(0.060, 0.710)1.08
40.5710.188(0.203, 0.939)0.3470.177(–0.001, 0.693)1.13
50.2620.180(–0.091, 0.615)0.0960.173(–0.244, 0.435)1.08
BMI > 25–0.0500.126(–0.297, 0.196)–0.0940.120(–0.328, 0.141)1.10
Diabetes–0.0660.231(–0.519, 0.387)–0.1620.216(–0.584, 0.261)1.15
ProportionalitybIntercept3.4380.551(2.357, 4.518)
 t–0.5190.588(–1.672, –0.634)
 t2–0.3070.157(–0.616, 0.001)
Endpoint (b)
L˜1(β)L˜FU,IC(β)
Parameter1EstimateSE95% CIEstimateSE95% CIRE3
ColorectalVitamin D quintile
20.1240.213(–0.293, 0.541)0.2810.193(–0.097, 0.658)1.22
3-0.0970.218(–0.523, 0.330)0.0950.195(–0.287, 0.478)1.24
4-0.2340.225(–0.675, 0.207)0.1020.205(–0.299, 0.504)1.20
5-0.3970.242(–0.871, 0.078)-0.0960.219(–0.526, 0.334)1.22
BMI > 25-0.0010.161(–0.316, 0.314)0.0890.151(–0.207, 0.384)1.13
Diabetes0.4680.260(–0.040, 0.977)0.6330.239(0.165, 1.102)1.18
ProstateVitamin D quintile
20.0030.186(–0.362, 0.367)-0.0840.182(–0.441, 0.272)1.05
30.4340.170(0.100, 0.768)0.3440.166(0.019, 0.669)1.06
40.4820.179(0.131, 0.833)0.2890.171(–0.046, 0.624)1.10
50.3020.176(–0.043, 0.647)0.1440.170(–0.189, 0.477)1.07
BMI > 25-0.0180.129(–0.270, 0.234)-0.0780.122(–0.318, 0.161)1.11
Diabetes0.0430.237(–0.422, 0.508)-0.0910.221(–0.525, 0.342)1.15
Proportionality2Intercept3.3840.555(2.296, 4.472)
t-0.5100.592(–1.670, 0.651)
t2-0.3090.159(–0.620, 0.002)
Endpoint (b)
L˜1(β)L˜FU,IC(β)
Parameter1EstimateSE95% CIEstimateSE95% CIRE3
ColorectalVitamin D quintile
20.1240.213(–0.293, 0.541)0.2810.193(–0.097, 0.658)1.22
3-0.0970.218(–0.523, 0.330)0.0950.195(–0.287, 0.478)1.24
4-0.2340.225(–0.675, 0.207)0.1020.205(–0.299, 0.504)1.20
5-0.3970.242(–0.871, 0.078)-0.0960.219(–0.526, 0.334)1.22
BMI > 25-0.0010.161(–0.316, 0.314)0.0890.151(–0.207, 0.384)1.13
Diabetes0.4680.260(–0.040, 0.977)0.6330.239(0.165, 1.102)1.18
ProstateVitamin D quintile
20.0030.186(–0.362, 0.367)-0.0840.182(–0.441, 0.272)1.05
30.4340.170(0.100, 0.768)0.3440.166(0.019, 0.669)1.06
40.4820.179(0.131, 0.833)0.2890.171(–0.046, 0.624)1.10
50.3020.176(–0.043, 0.647)0.1440.170(–0.189, 0.477)1.07
BMI > 25-0.0180.129(–0.270, 0.234)-0.0780.122(–0.318, 0.161)1.11
Diabetes0.0430.237(–0.422, 0.508)-0.0910.221(–0.525, 0.342)1.15
Proportionality2Intercept3.3840.555(2.296, 4.472)
t-0.5100.592(–1.670, 0.651)
t2-0.3090.159(–0.620, 0.002)
a

The reference levels of the covariates are the first vitamin D quintile, BMI 25 and no diabetes.

b

The proportionality factor is modeled as a linear function of t, where t is the case time in days divided by 1000.

c

Relative efficiency is the ratio of the variance of an estimate from L˜1(β) to the variance of the corresponding estimate from L˜FU,IC(β).

Table 5:

Result of the combined analysis of two case-control studies nested in the PLCO cohort.

Endpoint (a)
 L˜1(β) L˜FU,IC(β)
ParameteraEstimateSE95% CIEstimateSE95% CI REc
ColorectalVitamin D quintile
20.1530.211(–0.262, 0.567)0.2970.192(–0.079, 0.672)1.22
3–0.0850.217(–0.510, 0.341)0.1500.196(–0.234, 0.534)1.23
4–0.2230.225(–0.663, 0.217)0.1240.205(–0.278, 0.526)1.20
5–0.3940.241(–0.868, 0.079)–0.0950.218(–0.523, 0.333)1.22
BMI > 250.0070.161(–0.308, 0.321)0.0850.150(–0.210, 0.380)1.14
Diabetes0.4700.260(–0.039, 0.979)0.6020.237(0.137, 1.067)1.20
ProstateVitamin D quintile
2–0.0060.188(–0.373, 0.362)–0.0910.181(–0.446, 0.264)1.07
30.5210.173(0.182, 0.859)0.3850.166(0.060, 0.710)1.08
40.5710.188(0.203, 0.939)0.3470.177(–0.001, 0.693)1.13
50.2620.180(–0.091, 0.615)0.0960.173(–0.244, 0.435)1.08
BMI > 25–0.0500.126(–0.297, 0.196)–0.0940.120(–0.328, 0.141)1.10
Diabetes–0.0660.231(–0.519, 0.387)–0.1620.216(–0.584, 0.261)1.15
ProportionalitybIntercept3.4380.551(2.357, 4.518)
 t–0.5190.588(–1.672, –0.634)
 t2–0.3070.157(–0.616, 0.001)
Endpoint (a)
 L˜1(β) L˜FU,IC(β)
ParameteraEstimateSE95% CIEstimateSE95% CI REc
ColorectalVitamin D quintile
20.1530.211(–0.262, 0.567)0.2970.192(–0.079, 0.672)1.22
3–0.0850.217(–0.510, 0.341)0.1500.196(–0.234, 0.534)1.23
4–0.2230.225(–0.663, 0.217)0.1240.205(–0.278, 0.526)1.20
5–0.3940.241(–0.868, 0.079)–0.0950.218(–0.523, 0.333)1.22
BMI > 250.0070.161(–0.308, 0.321)0.0850.150(–0.210, 0.380)1.14
Diabetes0.4700.260(–0.039, 0.979)0.6020.237(0.137, 1.067)1.20
ProstateVitamin D quintile
2–0.0060.188(–0.373, 0.362)–0.0910.181(–0.446, 0.264)1.07
30.5210.173(0.182, 0.859)0.3850.166(0.060, 0.710)1.08
40.5710.188(0.203, 0.939)0.3470.177(–0.001, 0.693)1.13
50.2620.180(–0.091, 0.615)0.0960.173(–0.244, 0.435)1.08
BMI > 25–0.0500.126(–0.297, 0.196)–0.0940.120(–0.328, 0.141)1.10
Diabetes–0.0660.231(–0.519, 0.387)–0.1620.216(–0.584, 0.261)1.15
ProportionalitybIntercept3.4380.551(2.357, 4.518)
 t–0.5190.588(–1.672, –0.634)
 t2–0.3070.157(–0.616, 0.001)
Endpoint (b)
L˜1(β)L˜FU,IC(β)
Parameter1EstimateSE95% CIEstimateSE95% CIRE3
ColorectalVitamin D quintile
20.1240.213(–0.293, 0.541)0.2810.193(–0.097, 0.658)1.22
3-0.0970.218(–0.523, 0.330)0.0950.195(–0.287, 0.478)1.24
4-0.2340.225(–0.675, 0.207)0.1020.205(–0.299, 0.504)1.20
5-0.3970.242(–0.871, 0.078)-0.0960.219(–0.526, 0.334)1.22
BMI > 25-0.0010.161(–0.316, 0.314)0.0890.151(–0.207, 0.384)1.13
Diabetes0.4680.260(–0.040, 0.977)0.6330.239(0.165, 1.102)1.18
ProstateVitamin D quintile
20.0030.186(–0.362, 0.367)-0.0840.182(–0.441, 0.272)1.05
30.4340.170(0.100, 0.768)0.3440.166(0.019, 0.669)1.06
40.4820.179(0.131, 0.833)0.2890.171(–0.046, 0.624)1.10
50.3020.176(–0.043, 0.647)0.1440.170(–0.189, 0.477)1.07
BMI > 25-0.0180.129(–0.270, 0.234)-0.0780.122(–0.318, 0.161)1.11
Diabetes0.0430.237(–0.422, 0.508)-0.0910.221(–0.525, 0.342)1.15
Proportionality2Intercept3.3840.555(2.296, 4.472)
t-0.5100.592(–1.670, 0.651)
t2-0.3090.159(–0.620, 0.002)
Endpoint (b)
L˜1(β)L˜FU,IC(β)
Parameter1EstimateSE95% CIEstimateSE95% CIRE3
ColorectalVitamin D quintile
20.1240.213(–0.293, 0.541)0.2810.193(–0.097, 0.658)1.22
3-0.0970.218(–0.523, 0.330)0.0950.195(–0.287, 0.478)1.24
4-0.2340.225(–0.675, 0.207)0.1020.205(–0.299, 0.504)1.20
5-0.3970.242(–0.871, 0.078)-0.0960.219(–0.526, 0.334)1.22
BMI > 25-0.0010.161(–0.316, 0.314)0.0890.151(–0.207, 0.384)1.13
Diabetes0.4680.260(–0.040, 0.977)0.6330.239(0.165, 1.102)1.18
ProstateVitamin D quintile
20.0030.186(–0.362, 0.367)-0.0840.182(–0.441, 0.272)1.05
30.4340.170(0.100, 0.768)0.3440.166(0.019, 0.669)1.06
40.4820.179(0.131, 0.833)0.2890.171(–0.046, 0.624)1.10
50.3020.176(–0.043, 0.647)0.1440.170(–0.189, 0.477)1.07
BMI > 25-0.0180.129(–0.270, 0.234)-0.0780.122(–0.318, 0.161)1.11
Diabetes0.0430.237(–0.422, 0.508)-0.0910.221(–0.525, 0.342)1.15
Proportionality2Intercept3.3840.555(2.296, 4.472)
t-0.5100.592(–1.670, 0.651)
t2-0.3090.159(–0.620, 0.002)
a

The reference levels of the covariates are the first vitamin D quintile, BMI 25 and no diabetes.

b

The proportionality factor is modeled as a linear function of t, where t is the case time in days divided by 1000.

c

Relative efficiency is the ratio of the variance of an estimate from L˜1(β) to the variance of the corresponding estimate from L˜FU,IC(β).

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