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04-24-2015 01:20 AM

** **

** ****Parameter ****DF ****Parameter**** Standard **** Chi-Square Pr > ChiSq Hazard**

** Ratio ****Estimate ****Error **

**RF_CATEGORY 1 **1 0.39888 0.54005 0.5455 0.4602 1.490 RF_CATEGORY 1

**RF_CATEGORY 2 **1 0.99090 0.52381 3.5785 0.0585 2.694 RF_CATEGORY 2

**RF_CATEGORY 3 **1 1.32557 0.55011 5.8063 0.0160 3.764 RF_CATEGORY 3

**Effect DF Wald Chi-Square Pr > ChiSq**

**RF_CATEGORY **3 12.8814 0.0049

Hi everyone,

My background in statistic is not very solid. I have received this report and I'm not sure how to figure out whether the HR is significant or not? Could anyone explain. thanks.

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Solution

04-24-2015
04:07 PM

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04-24-2015 04:07 PM

The p-value of 0.0049 test the hypothesis that all three parameters are zero.

DF=3 because there are three less in a model where all the four Groups are equal (four Groups because there is also the reference Group).

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04-24-2015 11:00 AM

If I was right check **Pr > ChiSq **

**if alpha=0.05 , then only the last one is significant .**

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04-24-2015 04:00 PM

Ok I know this part about the 0.05, anything lower is statistically significant. What got me confused is the second table with the wald chi square ?? 0.0049 it reports this for only DF = 3,,, in other tables where the HR was significant for all there categories. I only got one p value for the wald chi-square? what does it signify?

Solution

04-24-2015
04:07 PM

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04-24-2015 04:07 PM

The p-value of 0.0049 test the hypothesis that all three parameters are zero.

DF=3 because there are three less in a model where all the four Groups are equal (four Groups because there is also the reference Group).

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04-24-2015 04:21 PM

for the same variables I got the KM cureves. and there I have four curves with the reference and then I got this table? does that mean that the 3 curves are statistically different from the reference curve? and why do we have more that one test ?

chi square | df | pr>chisquare | |

| 13.7304 | 3 | 0.0033 |

| 13.7798 | 3 | 0.0032 |

| 13.8084 | 3 | 0.0032 |

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04-24-2015 04:48 PM

When the wald test (or log-rank or -log(LR)) are significant it can be due to only one big contrast between two Groups, and not neccesaryly that all four Groups differ from each other. It is correct as you say that four Groups can not be assumed to be equal.

Proc phreg produce Wald, LogRank and -2Log(LR), they are asymptotic equivalent. You can write "type3(wald)" as option in the modelstatement if you only want the wald test.