System and method for evaluating clustering in case control data

• US 20060089812A1
• Filed: 09/12/2005
• Published: 04/27/2006
• Est. Priority Date: 10/25/2004
• Status: Abandoned Application

• Current Assignee: Geoffrey M. Jacquez
• Original Assignee: Geoffrey M. Jacquez
• Inventors: Jacquez, Geoffrey M.
• Application Number:
  US11/224,158
• Publication Number:
  US 20060089812A1
• Time in Patent Office: Days
• US Class Current: 702/23
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof

Abstract

A method and system to evaluate clustering in case control data for a plurality of individuals taking into account dynamic location information. A set of space time coordinates for each individual is established. The set of space time coordinates indicate a geographic location of a residence of the individual at a beginning time and an ending time. A case control identifier for each individual is established. For at least one case individual whose case control identifier has the first value, a spatially and temporally local case-control cluster statistic is established as a function of the set of space time coordinates of each individual, the case control identifier, and the neighbor relationship values between the one case individual and the other individuals. Dynamic location information for exposure sources are used to establish a focused case-control cluster statistic as a function of the set of space time coordinates of each exposure source, the space time coordinates of each individual, the case control identifier, and the neighbor relationship values between the case individuals, the other individuals and the exposure sources.

Claims

1. A method of evaluating clustering in case control data for a plurality of individuals taking into account dynamic location information, comprising:

establishing a set of space time coordinates for each individual, the set of space time coordinates being indicative of a geographic location of a residence of the individual at a beginning time and an ending time;

establishing a case control identifier for each individual, the case control identifier having a first control value if the individual is a case and a second control value if the individual is not a case;

establishing a neighbor relationship value between each individual and the other individuals, wherein the neighbor relationship value between one individual and another individual has a first relationship value, if the one individual and the another individual are neighbors according a set of predetermined criteria and a second relationship value are not neighbors; and

,

for at least one case individual whose case control identifier has the first value, establishing a spatially and temporally local case-control cluster statistic as a function of the set of space time coordinates of each individual, the case control identifier, and the neighbor relationship values between the one case individual and the other individuals.

2. A method, as set forth in claim 1, including the step of establishing a probability of another individual being a case.

3. A method, as set forth in claim 2, including the step of establishing a global statistic for spatial clustering of cases at a time, t.

4. A method, as set forth in claim 3, of establishing a sum of the global statistic for spatial clustering over times, T+1.

5. A method, as set forth in claim 4, of establishing a test statistic as a function of the global statistic for spatial clustering, the test statistic being indicative of whether cases tend to cluster through time around a specific case.

6. A method, as set forth in claim 1, including the step of identifying a focus individual, where cases may be clustering about the focus individual.

7. A method, as set forth in claim 6, including the step of establishing a lifeline for the focus individual, the lifeline including the set of space time coordinates for the focus individual.

8. A method, as set forth in claim 7, including the step of establishing a first test statistic representing a count of neighbors of the focus individual who are cases at a focus time.

9. A method, as set forth in claim 8, including the step of establishing a second test statistic as a function of the first test statistic, the second test statistic representing count of neighbors of the focus individual who are cases between the beginning time and the ending time.

10. A method, as set forth in claim 1, wherein the set of space time coordinates for each individual take into account exposure windows and latency periods of a subject disease.

11. A method of evaluating clustering in case control data for a plurality of individuals taking into account dynamic location information, comprising:

establishing a set of space time coordinates for each individual, the set of space time coordinates being indicative of a geographic location of a residence of the individual at a beginning time and an ending time;

establishing a case control identifier for each individual, the case control identifier having a first control value if the individual is a case and a second control value if the individual is not a case;

establishing a neighbor relationship value between each individual and the other individuals, wherein the neighbor relationship value between one individual and another individual has a first relationship value, if the one individual and the another individual are neighbors according a set of predetermined criteria and a second relationship value are not neighbors;

for at least one case individual whose case control identifier has the first value, establishing a spatially and temporally local case-control cluster statistic as a function of the set of space time coordinates of each individual, the case control identifier, and the neighbor relationship values between the one case individual and the other individuals;

establishing a probability of another individual being a case;

establishing a global statistic for spatial clustering of cases at a time, t, as a function of the case control identifiers and a neutral model of spatially heterogeneous population density;

establishing a sum of the global statistic for spatial clustering over times, T+1;

establishing first test statistic as a function of the global statistic for spatial clustering, the first test statistic being indicative of whether cases tend to cluster through time around a specific case;

identifying a focus individual, where cases may be clustering about the focus individual;

establishing a lifeline for the focus individual, the lifeline including the set of space time coordinates for the focus individual;

establishing a second test statistic representing a count of neighbors of the focus individual who are cases at a focus time; and

,

establishing a third test statistic as a function of the second test statistic, the third test statistic representing count of neighbors of the focus individual who are cases between the beginning time and the ending time.

12. A method, as set forth in claim 11, wherein at least one of global statistic, the first test statistic, the second test statistic, and the third test statistic are duration weighted.

13. A method, as set forth in claim 11, wherein the set of space time coordinates for each individual take into account exposure windows and latency periods of a subject disease.

14. A system for evaluating clustering in case control data for a plurality of individuals taking into account dynamic location information, comprising:

a database for storing the case control data; and

,

a computer coupled to the database for establishing a set of space time coordinates for each individual as a function of the case control data, the set of space time coordinates being indicative of a geographic location of a residence of the individual at a beginning time and an ending time, for establishing a case control identifier for each individual, the case control identifier having a first control value if the individual is a case and a second control value if the individual is not a case, for establishing a neighbor relationship value between each individual and the other individuals, wherein the neighbor relationship value between one individual and another individual has a first relationship value, if the one individual and the another individual are neighbors according a set of predetermined criteria and a second relationship value are not neighbors, and, for at least one case individual whose case control identifier has the first value, for establishing a spatially and temporally local case-control cluster statistic as a function of the set of space time coordinates of each individual, the case control identifier, and the neighbor relationship values between the one case individual and the other individuals.

15. A system, as set forth in claim 14, the computer for establishing a probability of another individual being a case.

16. A system, as set forth in claim 15, the computer for establishing a global statistic for spatial clustering of cases at a time, t.

17. A system, as set forth in claim 16, the computer for establishing a sum of the global statistic for spatial clustering over times, T+1.

18. A system, as set forth in claim 17, the computer for establishing a test statistic as a function of the global statistic for spatial clustering, the test statistic being indicative of whether cases tend to cluster through time around a specific case.

19. A system, as set forth in claim 14, the computer for identifying a focus individual, where cases may be clustering about the focus individual.

20. A system, as set forth in claim 19, the computer for establishing a lifeline for the focus individual, the lifeline including the set of space time coordinates for the focus individual.

21. A system, as set forth in claim 20, the computer for establishing a first test statistic representing a count of neighbors of the focus individual who are cases at a focus time.

22. A system, as set forth in claim 21, the computer for establishing a second test statistic as a function of the first test statistic, the second test statistic representing count of neighbors of the focus individual who are cases between the beginning time and the ending time.

23. A system, as set forth in claim 14, wherein the set of space time coordinates for each individual take into account exposure windows and latency periods of a subject disease.

24. A system for evaluating clustering in case control data for a plurality of individuals taking into account dynamic location information, comprising:

a database for storing case control data;

a computer coupled to the database for establishing a set of space time coordinates for each individual as a function of the case control data, the set of space time coordinates being indicative of a geographic location of a residence of the individual at a beginning time and an ending time, for establishing a case control identifier for each individual, the case control identifier having a first control value if the individual is a case and a second control value if the individual is not a case, for establishing a neighbor relationship value between each individual and the other individuals, wherein the neighbor relationship value between one individual and another individual has a first relationship value, if the one individual and the another individual are neighbors according a set of predetermined criteria and a second relationship value are not neighbors, for at least one case individual whose case control identifier has the first value, for establishing a spatially and temporally local case-control cluster statistic as a function of the set of space time coordinates of each individual, the case control identifier, and the neighbor relationship values between the one case individual and the other individuals, for establishing a probability of another individual being a case, for establishing a global statistic for spatial clustering of cases at a time, t, as a function of the case control identifiers and a neutral model of spatially heterogeneous population density, for establishing a sum of the global statistic for spatial clustering over times, T+1, for establishing first test statistic as a function of the global statistic for spatial clustering, the first test statistic being indicative of whether cases tend to cluster through time around a specific case, for identifying a focus individual, where cases may be clustering about the focus individual, for establishing a lifeline for the focus individual, the lifeline including the set of space time coordinates for the focus individual, for establishing a second test statistic representing a count of neighbors of the focus individual who are cases at a focus time, and for establishing a third test statistic as a function of the second test statistic, the third test statistic representing count of neighbors of the focus individual who are cases between the beginning time and the ending time.

25. A system, as set forth in claim 24, wherein at least one of global statistic, the first test statistic, the second test statistic, and the third test statistic are duration weighted.

26. A system, as set forth in claim 24, wherein the set of space time coordinates for each individual take into account exposure windows and latency periods of a subject disease.

27. A system, as set forth in claim 24, wherein the database includes information on the locations and times of operation of putative exposure sources and wherein the location history data is used to identify the putative relative importance of those exposure sources in terms of exposures that might have been causative in causing the cancer of a particular case.